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关于产后抑郁筛查量表(PDSQ)各维度的心理测量效度:双因素项目反应理论模型示例

On the psychometric validity of the domains of the PDSQ: an illustration of the bi-factor item response theory model.

作者信息

Gibbons Robert D, Rush A John, Immekus Jason C

机构信息

Department of Biostatistics and Psychiatry, Center for Health Statistics PI 455-457, Chicago, IL 60612, USA.

出版信息

J Psychiatr Res. 2009 Jan;43(4):401-10. doi: 10.1016/j.jpsychires.2008.04.013. Epub 2008 Jun 12.

Abstract

Competing item response theory (IRT) models were used to test the factor structure of the psychiatric diagnostic screening questionnaire (PDSQ; Zimmerman M, Mattia JI. A self-report scale to help make psychiatric diagnoses: the psychiatric diagnostic screening questionnaire. Archives of General Psychiatry 2001;58:787-94), a self-report psychiatric measure comprised of 139 items sampled from 15 symptom domains (e.g., Psychosis, Mania). Tested IRT models included: (a) a unidimensional model, (b) a simple structure model, (c) a bi-factor model, and (d) models that included 6, 10, and 15 sub-domain alternative conceptualizations of the scale. Based on the responses of 3791 individuals with major depressive disorder, the bi-factor model was found to provide a theoretically and statistically plausible description of the PDSQ factor structure. Primary dimension loadings were low to moderate; group factor loadings were moderate to high. Results support the validity of the PDSQ in identifying distinct categories of illness as defined by the diagnostic and statistical manual diagnostic groups, since preserving the 15 symptom categories (domains) provided a more accurate characterization of the observed data by the IRT models. The bi-factor model is useful in evaluating the multidimensional structure of mental health data. The specification of alternative IRT models is demonstrated as a noteworthy benefit over classical test theory for psychiatric measurement.

摘要

采用竞争项目反应理论(IRT)模型来检验精神科诊断筛查问卷(PDSQ;齐默尔曼 M,马蒂亚 JI。一种有助于进行精神科诊断的自评量表:精神科诊断筛查问卷。《普通精神病学文献》2001年;58:787 - 94)的因子结构,该自评精神科量表由从15个症状领域(如精神病、躁狂症)抽取的139个项目组成。所检验的IRT模型包括:(a)单维模型,(b)简单结构模型,(c)双因子模型,以及(d)包含该量表6、10和15个子领域替代概念化的模型。基于3791名重度抑郁症患者的回答,发现双因子模型为PDSQ因子结构提供了理论上和统计学上合理的描述。主要维度载荷低至中等;组因子载荷中等至高。结果支持PDSQ在识别由《诊断与统计手册》诊断组定义的不同疾病类别方面的有效性,因为保留15个症状类别(领域)能使IRT模型对观测数据进行更准确的表征。双因子模型在评估心理健康数据的多维结构方面很有用。与经典测试理论相比,替代IRT模型的设定被证明是精神科测量的一个显著优势。

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